Demographics details for Mukwonago, WI vs Whitehall, PA
Population Overview
Compare main population characteristics in Mukwonago, WI vs Whitehall, PA.
Data | Mukwonago | Whitehall |
---|---|---|
Population | 8,446 | 14,785 |
Median Age | 39.7 years | 44.8 years |
Median Income | $91,827 | $77,752 |
Married Families | 44.0% | 45.0% |
Poverty Level | 5% | 8% |
Unemployment Rate | 3.4 | 4.5 |
Population Comparison: Mukwonago vs Whitehall
- The population in Whitehall is higher at 14,785, compared to 8,446 in Mukwonago.
- The median age in Whitehall is higher at 44.8 years, compared to 39.7 years in Mukwonago.
- Mukwonago has a higher median income of $91,827 compared to $77,752 in Whitehall.
- In Whitehall, the percentage of married families is higher at 45.0%, compared to 44.0% in Mukwonago.
- The poverty level is higher in Whitehall at 8%, compared to 5% in Mukwonago.
- Whitehall has a higher unemployment rate at 4.5% compared to 3.4% in Mukwonago.
Demographics
Demographics Mukwonago vs Whitehall provide insight into the diversity of the communities to compare.
Demographic | Mukwonago | Whitehall |
---|---|---|
Black | Data is updating | 4 |
White | 82 | 78 |
Asian | 4 | 14 |
Hispanic | 7 | 1 |
Two or More Races | 7 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mukwonago vs Whitehall
- In Whitehall, the percentage of Black residents is higher at 4% compared to 0% in Mukwonago.
- Mukwonago has a higher percentage of White residents at 82% compared to 78% in Whitehall.
- In Whitehall, the Asian population stands at 14%, greater than 4% in Mukwonago.
- The Hispanic community is larger in Mukwonago at 7% compared to 1% in Whitehall.
- More residents identify as two or more races in Mukwonago at 7% compared to 3% in Whitehall.
- The percentage of American Indian residents is the same in both Mukwonago and Whitehall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mukwonago | Whitehall |
---|---|---|
Mental Health Not Good | 13.8% | 15.5% |
Physical Health Not Good | 8.6% | 10.3% |
Depression | 21.2% | 22.0% |
Smoking | 13.8% | 17.0% |
Binge Drinking | 25.2% | 21.4% |
Obesity | 35.3% | 30.9% |
Disability Percentage | 10.0% | 15.0% |
Health Statistics Comparison: Mukwonago vs Whitehall
- In Whitehall, a higher percentage report poor mental health at 15.5% compared to 13.8% in Mukwonago.
- Higher depression rates are seen in Whitehall at 22.0% versus 21.2% in Mukwonago.
- Whitehall has a higher smoking rate at 17.0% compared to 13.8% in Mukwonago.
- Binge drinking is more common in Mukwonago at 25.2% compared to 21.4% in Whitehall.
- Obesity rates are higher in Mukwonago at 35.3% compared to 30.9% in Whitehall.
- There is a higher percentage of disabled individuals in Whitehall at 15.0% compared to 10.0% in Mukwonago.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mukwonago | Whitehall |
---|---|---|
No Schooling | 0.6% (48) | 2.0% (302) |
High School Diploma | 17.0% (1,435) | 18.2% (2,688) |
Less than High School | 4.7% (394) | 7.7% (1,141) |
Bachelor's Degree and Higher | 25.3% (2,138) | 31.1% (4,603) |
Education Levels Comparison: Mukwonago vs Whitehall
- In Whitehall, a larger percentage of residents lack formal schooling at 2.0% compared to 0.6% in Mukwonago.
- In Whitehall, the rate of residents with high school diplomas is higher at 18.2% compared to 17.0% in Mukwonago.
- The percentage of residents with less than a high school education is higher in Whitehall at 7.7%, compared to 4.7% in Mukwonago.
- In Whitehall, a larger share of residents have a bachelor's degree or higher at 31.1% compared to 25.3% in Mukwonago.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.